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Identification of geometrically consistent interest points for 3D scene reconstruction

We propose an algorithm that extracts image features that are consistent with the 3D structure of the scene. The features can be robustly tracked over multiple views and serve as vertices of planar patches that suitably represent scene surfaces, while reducing the redundancy in the description of 3D shapes. In other words, the extracted features will off er good tracking properties while providing the basis for 3D reconstruction with minimum model complexity

SARTI (Technological Development Centre of Remote Acquisition and Data processing Systems)

Author: Nicosevici, Tudor
García Campos, Rafael
Grácias, Nuno Ricardo Estrela
Date: 2018 June 5
Abstract: We propose an algorithm that extracts image features that are consistent with the 3D structure of the scene. The features can be robustly tracked over multiple views and serve as vertices of planar patches that suitably represent scene surfaces, while reducing the redundancy in the description of 3D shapes. In other words, the extracted features will off er good tracking properties while providing the basis for 3D reconstruction with minimum model complexity
Document access: http://hdl.handle.net/2072/320444
Language: eng
Publisher: SARTI (Technological Development Centre of Remote Acquisition and Data processing Systems)
Rights: Attribution-NonCommercial-NoDerivs 3.0 Spain
Rights URI: http://creativecommons.org/licenses/by-nc-nd/3.0/es/
Subject: Robots submarins
Mobile robots
Imatgeria tridimensional
Three-dimensional imaging
Imatge, Tècniques d’
Imaging systems
Title: Identification of geometrically consistent interest points for 3D scene reconstruction
Type: info:eu-repo/semantics/article
Repository: Recercat

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